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AI Engineer with less than a year in Deep Learning, Generative AI, and scalable RAG applications.
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Assessing your cultural and operational fit
Innovative AI/ML Engineer with a strong foundation in Deep Learning, Generative AI, and Cloud Computing (GCP). Proven track record in architecting end-to-end machine learning pipelines that improve processing efficiency by 25% and reduce inference latency by 30%. Expert in developing scalable RAG applications, computer vision systems, and predictive models using PyTorch, TensorFlow, and LangChain.
Gokaraju Lailavathi Engineering College
B.E. · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior Kalasala
Intermediate (MPC)
June 1, 2020 – May 31, 2022
Sri Chaitanya Techno High School
SSC - High School
June 1, 2018 – May 31, 2020
Datavalley
AI/ML Engineer Intern
April 1, 2026 – Present
India
Urban Road Hazard Intelligence System
January 1, 2026 – June 30, 2026
Trained Logistic Regression, SVM, and Random Forest on ~50,000 records with SMOTE, achieving 78-86% severity classification accuracy. Built CNN detector for potholes and open manholes using OpenCV and TensorFlow, reaching 92% detection accuracy and <0.8s inference per image. Integrated Twilio/SMTP alerts to notify 100+ municipal contacts, enabling 60% faster hazard remediation.
Proactive AI Emergency Management Framework
January 1, 2026 – June 30, 2026
Deployed Isolation Forest and Autoencoders on telemetry from 1,200 vehicles to flag anomalies with 85% precision. Optimized ambulance routing using NetworkX, Dijkstra/A*, and Multi-Agent RL, cutting average response time from 12.5 min to 7.5 min (≈40% improvement). Delivered a Streamlit dashboard with live incidents, hospital load forecasts, and SHAP explanations, improving dispatch accuracy by 30%.
SDE Internship Offer
Bluestock
June 1, 2026 – Present
Web Development
Coincent
June 1, 2026 – Present
BizHack national-level hackathon
BizHack
June 1, 2026 – Present
Summer of AI Internship
IIIT Hyderabad
June 1, 2026 – Present
250+ Problems on LeetCode
LeetCode
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI to real-world problems with significant societal impact (urban hazard intelligence, emergency management). This aligns well with roles that value innovation and practical application of AI. Participation in hackathons and solving numerous LeetCode problems indicates a proactive and continuous learning mindset. The breadth of technologies used across projects (Python, various ML/DL frameworks, data analysis tools, Streamlit, Git, GCP) suggests adaptability and a willingness to explore different solutions. The candidate is still pursuing a bachelor's degree, indicating a strong academic foundation and potential for growth.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to orchestrate cross-functional deployments and engage stakeholders, suggesting good collaboration and communication skills. The focus on improving dispatch accuracy and hazard remediation times indicates a results-oriented approach. Establishing model governance and interpretability points to an understanding of responsible AI practices. However, without direct assessment data, these are inferred from project descriptions.